Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

The brain is organized as a network of highly specialized networks of spiking neurons. To
exploit such a modular architecture for computation, the brain has to be able to regulate the …

Perception, cognition and behavior rely on flexible communication between microcircuits in
distinct cortical regions. The mechanisms underlying rapid information rerouting between …

Cortical neurons receive balanced excitatory and inhibitory synaptic currents. Such a
balance could be established and maintained in an experience-dependent manner by …

Correlated spiking is often observed in cortical circuits, but its functional role is controversial.
It is believed that correlations are a consequence of shared inputs between nearby neurons …

The brain is a highly modular structure. To exploit modularity, it is necessary that spiking
activity can propagate from one module to another while preserving the information it …

Both theoretical and experimental evidence indicate that synaptic excitation and inhibition in
the cerebral cortex are well-balanced during the resting state and sensory processing. Here …

Recent theoretical work has provided a basic understanding of signal propagation in
networks of spiking neurons, but mechanisms for gating and controlling these signals have …

Understanding reliable signal transmission represents a notable challenge for cortical
systems, which display a wide range of weights of feedforward and feedback connections …

Spontaneous fluctuations in neuronal activity emerge at many spatial and temporal scales in
cortex. Population measures found these fluctuations to organize as scale-invariant …